Vehicle Control System Optimizing Fuel Reduction via Communication Data Constraints
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Solution Overview
Problem
The challenge lies in balancing the communication data amount and the accuracy of vehicle control, as the data amount allowed for communication varies by region and carrier, affecting the feasibility of analyzing and transmitting vehicle information for efficient fuel reduction commands.
Innovation Solution
A vehicle control method that acquires communication data amount information, predicts traveling routes, derives fuel consumption based on other vehicles' states, generates and regulates fuel reduction commands based on calculated accuracy, and selects cost-effective communication carriers to optimize fuel reduction while considering data limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the data amount of vehicle information uploaded to the center is increased to improve control accuracy, then the accuracy of vehicle control is improved, but the communication data amount increases leading to higher communication costs
Solution Approach 1:
The patent extracts and transmits only the essential vehicle information needed for control decisions rather than uploading all vehicle data to the center. This selective extraction maintains control accuracy while significantly reducing communication data amount and associated costs.
Solution Approach 2:
The patent implements partial action by transmitting a subset of vehicle information that is sufficient for accurate control decisions. Rather than uploading complete vehicle data, only the necessary partial information is communicated, optimizing the balance between control accuracy and communication cost.
2Quantity of substance
If the data amount of vehicle information uploaded to the center is reduced to decrease communication costs, then the communication cost is reduced, but the accuracy of vehicle control deteriorates
Solution Approach 1:
The patent changes the parameters of information transmission by identifying and transmitting only the critical parameters needed for control decisions. This parameter selection approach reduces communication data amount while maintaining sufficient control accuracy through intelligent parameter filtering.
Solution Approach 2:
The patent applies local quality by treating different vehicle information parameters differently - some parameters are transmitted in detail while others are summarized or omitted entirely. This differential treatment optimizes the balance between data completeness and communication efficiency.
3Measurement precision
If more vehicle information is collected to improve fuel consumption prediction accuracy, then the accuracy of fuel consumption prediction is improved, but the communication data amount and cost increase
Solution Approach 1:
The patent performs preliminary action by pre-processing vehicle information locally to extract only the data elements necessary for fuel consumption prediction. This preliminary filtering reduces the data volume that needs to be transmitted while ensuring that all critical information for accurate prediction is included.
Data Source
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AI summary
A control method for a vehicle (200) which is executable by at least one information processing device (100) including a communication unit (190), includes: collecting vehicle information from the vehicle (200) in a range of a communication data amount or a communication frequency that is allowed in communication with the vehicle (200), based on information about the communication data amount or the communication frequency; and calculating an accuracy of control of the vehicle (200) based on an information amount of the collected vehicle information; and producing a control command based on the calculated accuracy.